• Translate business requirements to data engineering solutions to support an enterprise scale AWS and/or Databricks based data environments. • Support designing, maintaining, automating and optimizing ETL operations ensuring data quality and efficient data management. • Design, build, and optimize scalable data solutions using a Medallion Architecture. • Manage ingestion routines for processing multi-terabyte datasets efficiently for multiple projects simultaneously. • Integrate data from various structured and unstructured sources to enable high-quality business insights. • Implement effective data management strategies to ensure data integrity, availability, and accessibility. • Identify opportunities for cost optimization in data storage, processing, and analytics operations. • Monitor and support user requests, addressing platform or performance issues, cluster stability, Spark optimization, and configuration management. • Collaborate with the team to enable advanced AI-driven analytics and data science workflows.